""" Cost module """ import hub.helpers.dictionaries import pandas as pd import numpy_financial as npf from hub.city_model_structure.building import Building from costs.configuration import Configuration from costs import CapitalCosts, EndOfLifeCosts, TotalMaintenanceCosts, TotalOperationalCosts, TotalOperationalIncomes from costs.constants import CURRENT_STATUS class Cost: """ Cost class """ def __init__(self, building: Building, number_of_years=31, percentage_credit=0, interest_rate=0.04, credit_years=15, consumer_price_index=0.04, electricity_peak_index=0.05, electricity_price_index=0.05, gas_price_index=0.05, discount_rate=0.03, retrofitting_year_construction=2020, factories_handler='montreal_custom', retrofit_scenario=CURRENT_STATUS, dictionary=hub.helpers.dictionaries.Dictionaries().hub_function_to_montreal_custom_costs_function): self._building = building fuel_type = 0 if "gas" in building.energy_systems_archetype_name: fuel_type = 1 self._configuration = Configuration(number_of_years, percentage_credit, interest_rate, credit_years, consumer_price_index, electricity_peak_index, electricity_price_index, gas_price_index, discount_rate, retrofitting_year_construction, factories_handler, retrofit_scenario, fuel_type, dictionary) @property def building(self) -> Building: """ Get current building. """ return self._building @building.setter def building(self, value: Building): """ Set current building. """ self._building = value def _npv_from_list(self, list_cashflow): return npf.npv(self._configuration.discount_rate, list_cashflow) @property def life_cycle(self) -> pd.DataFrame: """ Get complete life cycle costs :return: DataFrame """ results = pd.DataFrame() global_capital_costs, global_capital_incomes = CapitalCosts(self._building, self._configuration).calculate() global_end_of_life_costs = EndOfLifeCosts(self._building, self._configuration).calculate() global_operational_costs = TotalOperationalCosts(self._building, self._configuration).calculate() global_maintenance_costs = TotalMaintenanceCosts(self._building, self._configuration).calculate() global_operational_incomes = TotalOperationalIncomes(self._building, self._configuration).calculate() df_capital_costs_skin = ( global_capital_costs['B2010_opaque_walls'] + global_capital_costs['B2020_transparent'] + global_capital_costs['B3010_opaque_roof'] + global_capital_costs['B10_superstructure'] ) df_capital_costs_systems = ( global_capital_costs['D3020_heat_generating_systems'] + global_capital_costs['D3030_cooling_generation_systems'] + global_capital_costs['D3080_other_hvac_ahu'] + global_capital_costs['D5020_lighting_and_branch_wiring'] + global_capital_costs['D301010_photovoltaic_system'] ) df_end_of_life_costs = global_end_of_life_costs['End_of_life_costs'] df_operational_costs = ( global_operational_costs['Fixed_costs_electricity_peak'] + global_operational_costs['Fixed_costs_electricity_monthly'] + global_operational_costs['Fixed_costs_electricity_peak'] + global_operational_costs['Fixed_costs_electricity_monthly'] + global_operational_costs['Variable_costs_electricity'] + global_operational_costs['Fixed_costs_gas'] + global_operational_costs['Variable_costs_gas'] ) df_maintenance_costs = ( global_maintenance_costs['Heating_maintenance'] + global_maintenance_costs['Cooling_maintenance'] + global_maintenance_costs['PV_maintenance'] ) df_operational_incomes = global_operational_incomes['Incomes electricity'] df_capital_incomes = ( global_capital_incomes['Subsidies construction'] + global_capital_incomes['Subsidies HVAC'] + global_capital_incomes['Subsidies PV'] ) life_cycle_costs_capital_skin = self._npv_from_list(df_capital_costs_skin.values.tolist()) life_cycle_costs_capital_systems = self._npv_from_list(df_capital_costs_systems.values.tolist()) life_cycle_costs_end_of_life_costs = self._npv_from_list(df_end_of_life_costs.values.tolist()) life_cycle_operational_costs = self._npv_from_list(df_operational_costs.values.tolist()) life_cycle_maintenance_costs = self._npv_from_list(df_maintenance_costs.values.tolist()) life_cycle_operational_incomes = self._npv_from_list(df_operational_incomes.values.tolist()) life_cycle_capital_incomes = self._npv_from_list(df_capital_incomes.values.tolist()) results[f'Scenario {self._configuration.retrofit_scenario}'] = [ life_cycle_costs_capital_skin, life_cycle_costs_capital_systems, life_cycle_costs_end_of_life_costs, life_cycle_operational_costs, life_cycle_maintenance_costs, life_cycle_operational_incomes, life_cycle_capital_incomes ] results.index = ['total_capital_costs_skin', 'total_capital_costs_systems', 'end_of_life_costs', 'total_operational_costs', 'total_maintenance_costs', 'operational_incomes', 'capital_incomes'] return results